Post-doctoral scientific researcher (M/F)

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Context:. The effects of climate change are especially visible in the Arctic and Antarctic, which are warming faster than the rest of the world. Glacier and ice-sheet retreat, permafrost thaw, and declining snow cover threaten ecosystems and communities that depend on water, fisheries, and other natural resources, while increasing risks from avalanches and slush floods. These changes also have global consequences: melting land ice raises sea levels, and thawing permafrost releases methane and carbon dioxide. Despite these regional and global impacts, adapting to future changes in the polar cryosphere remains challenging due to large uncertainties in climate projections. Part of this uncertainty stems from insufficient understanding and inadequate model representation of the terrestrial cryosphere and its interactions with the atmosphere and ocean. Snow strongly influences these interactions and plays a key role in modulating the cryosphere's response to climate change and other natural and socioeconomic drivers. Yet, in polar regions, snowpack characteristics and processes remain poorly understood, observed, and modeled, particularly those underlying atmosphere–terrestrial cryosphere interactions. Addressing these knowledge and modeling gaps is therefore critical to improving projections and supporting effective climate adaptation. The SnowPI (Polar Snow, Permafrost, and Inland Ice